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Run aerospace design loops at simulation speed.

AeroGalactica embeds physics-aware AI directly into engineering workflows. Your team explores more designs, finds better solutions, and ships faster.

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Parallel

candidate screening

Versioned

inputs and solver context

Ranked

candidate review posture

Wing optimization run
Design space: cruise drag, lift coefficient, thermal margin
Live

Model intake

Ready

Candidate rank

Live

Review gate

Attached

Parameter sweep

AOA, camber, sweep, material limit

Solver queue
Run progress71%
Thermal margin44%

Run queue

3 studies tracked with review posture.

Live
Trace ID AGX-7F2All inputs versioned

The simulation bottleneck is not a compute problem alone.

Aerospace teams lose time where models, solvers, optimization runs, and decision records split into separate systems.

Before and after the unified loop
What changes when modeling, simulation, and optimization share one workflow.
AreaLegacy workflowAeroGalactica
ToolingFragmented CAE handoffsOne design-loop workspace
IterationSerial solver queuesParallel exploration queue
EvidenceManual run notesTraceable result ledger
DecisionLate-stage trade studiesLive candidate ranking

One platform for the full exploration loop.

A clean operating layer for generating, running, ranking, and explaining aerospace design candidates.

  1. 01

    Model

    Import geometry, constraints, and solver context once.

  2. 02

    Simulate

    Launch parallel sweeps across trusted compute backends.

  3. 03

    Optimize

    Screen candidates with physics-aware inference loops.

  4. 04

    Trace

    Keep decisions tied to inputs, runs, and result lineage.

Active design queue
Prioritized runs with visible confidence, constraints, and review posture.
Queue pressureMedium
Interactive GPU pool62%
Batch solver pool48%
Candidate screening83%
Geometry accepted
Preflight complete
Review gate attached

Built for aerospace teams with narrow design windows.

Use the same operating model across early screening, detailed analysis, and decision review.

Hypersonics
Thermal and aerodynamic coupling across narrow design windows.

Model type

Shock-boundary interaction maps

Optimization target

Reduce drag while preserving thermal margin.

A sharper loop from intake to decision.

The platform is organized around the moments that usually scatter across tools.

Model intake

Start with geometry and constraints.

Bring CAD context, solver settings, and acceptance criteria into one run packet.

Run posture

Keep every candidate reviewable.

Track queue state, confidence, and constraint checks before detailed solver spend.

Decision record

Leave a clean trail.

Export inputs, settings, run IDs, and rationale when a design moves forward.

Bring AI-native simulation into your design loop.

Start with one high-value workflow: candidate screening, optimization ranking, or traceable review packets.

Talk to an engineerReview platform